LaunchDarkly achieves 150% of meeting targets in under 60 days with Mutiny AI-personalized microsites
LaunchDarkly's sole ABM practitioner could not scale personalized landing pages manually — updating dozens of CMS assets for every messaging or brand change was unsustainable — and GA4 analytics provided no way to tie engagement back to specific contacts or accounts for follow-up.
The manual CMS approach required updating dozens of individual assets for every product or brand change and could not scale to 100+ accounts, while GA4 analytics failed to attribute engagement to specific contacts, making targeted follow-up impossible.
The new logo campaign delivered 45 sales accepted leads (exceeding the goal of 30), 18 opportunities generated, and 4 closed-won deals in less than two months, reaching 150% of meeting targets.
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Frequently asked questions
What did this team achieve with this AI workflow?
The new logo campaign delivered 45 sales accepted leads (exceeding the goal of 30), 18 opportunities generated, and 4 closed-won deals in less than two months, reaching 150% of meeting targets.
What tools did this team use?
Mutiny, Campaigns, Account Intelligence, web extension, Salesforce, Looker, LinkedIn Ads, Google Analytics 4, Slack.
What results were reported?
Meeting targets achieved: 150%; Sales accepted leads: 45; Opportunities generated: 18; Closed-won deals: 4 (source-reported, not independently verified).
What failed first in this deployment?
The manual CMS approach required updating dozens of individual assets for every product or brand change and could not scale to 100+ accounts, while GA4 analytics failed to attribute engagement to specific contacts, ma…
How is this marketing ops AI workflow structured?
New logo campaign kick-off → AI microsite generation at scale → LinkedIn Ads with personalized copy → Inbound sidepop targeting → Sales outreach with microsites → Web extension visitor alerts → Pipeline tracked in Salesforce and Looker.